Your key accountabilities are:
- Own the design, evolution, and reliability of our CI/CD and developer platform architecture
- Evaluate and introduce new CI/CD, platform engineering, and AI-driven technologies, setting technical direction and standards
- Lead the implementation of AI-powered developer productivity solutions, including:
- Internal AI agents for CI/CD pipelines, incident resolution, and operational automation
- Intelligent assistants to improve developer workflows and reduce cognitive load
- Define and implement patterns for integrating AI using Model Context Protocol (MCP) or similar frameworks, ensuring secure and scalable interactions between LLMs and internal systems
- Drive the development of a self-service internal developer platform, enabling teams to deploy, test, and operate services independently
- Provide technical leadership and mentorship to engineers, promoting best practices in DevOps, platform engineering, and AI adoption
- Lead troubleshooting and resolution of complex system and infrastructure issues, acting as an escalation point
- Collaborate cross-functionally with engineering, security, and product teams to improve developer experience, system reliability, and delivery speed
- Define and enforce observability, reliability, and cost optimization strategies
- Ensure secure adoption of AI technologies, including governance, compliance, and data protection
- Drive documentation, knowledge sharing, and continuous improvement initiatives across the platform
